Description

The students of this MSc arrive with different academic backgrounds. To fill in the gaps in their mathematical, statistical and programming skills, the first 2 months of the first year are devoted to a complete refresher program. An additional novel feature of this very intensive educational approach is to place students in a situation where they rapidly work together and help each other in an independent way (without the teacher). They also learn (and hopefully appreciate) to work in an open space. This is very important for achieving one of our goals: by the end of the Master's program, participants with very different backgrounds are used to interacting with each other and intensively working together. During these 8 weeks, they will have different teachers and focus on different topics: linear and bilinear algebra, complex numbers, Fourier analysis, basic probability, basic statistics and programming in R, differential equations, PDE, simulation, modeling, simulation and implementation of basic systems and object-oriented programming, basics in experimental protocol set-ups…

Subjects teacher face to face hours ECTS
ECUE: Probability and Statistics Patricia Reynaud-Bouret (LJAD) 42 3
ECUE: Programming for Modeling and Simulation Samuel Deslauriers-Gauthier and Romain Veltz (Inria) 42 3
ECUE: Linear Algebra Martin Krupa (LJAD) 30 3
ECUE: Dynamical Systems Martin Krupa (LJAD) 30 3
ECUE: Introduction to Cognitive Science and Neuroscience Emilie Gerbier (BCL), Ingrid Bethus (IPMC), Raphaël Fargier (BCL) 30 3